Projects

Computability of meaning in natural language

Crit Cremers

The LIBC-related track in my research is about the computability of meaning in natural language. Some colleagues, students and I are investigating the possibilities of deriving and representing meaning of sentences and texts in such a way that these meanings can be identified as autonomous cognitive objects. The inquiries concentrate on the development of formal, algebraic methods to assign autonomous meanings to sentences and to derive sentences from autonomous meanings. We operate by modelling these methods computationally. The resulting meaning driven language automaton Delilah is (partly) accessible at www.delilah.eu. This automaton is further used as the starting point for research into the acquisition of natural language. David Shakouri is developing a laboratory model for the acquisition of natural language - the mother-daughter-machine. It may serve to study real language acquisition experimentally.